(1 point) Suppose you want to test the claim the the paired sample data given below come from a population for which the mean difference is µa = 0.86 575962 88869084 816360 9462 74Use a 0.05 significance level to find the following:(a) The mean value of the differnces d for the paired sample datad :(b) The standard deviation of the differences d for the paired sample dataSa =(c) The t test statistict =(d) The positive critical valuet =(e) The negative critical valuet =(f) Does the test statistic fall in the critical region?A. YesВ. No(g) Construct a 95% conficence interval for the population mean of all differences x – y.< µd <

As per our guidelines we can solve first three subpart and rest can be reposted. Solution-: We find.…

Answered: (1 point) Suppose you want to test the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following scores represent the final examination grades for an elementary statistics course (treated as population): 23 60 79 32 57 74 52 70 82 36 80 77 81 95 41 65 92 85 55 76 52 10 64 75 78 25 80 98 81 67 41 71 83 54 64 72 88 62 74 43 60 78 89 76 84 48 84 90 15 79 34 67 17 82 69 74 63 80 85 61 (a) Construct a stem-and-leaf display representing the given data set. Use the tens digits for the stem. (b) Construct a frequency distribution table for the given data set. Use class size of 10 and start from 10 (i.e. 10-19, 20-29 etc.). (c) Determine the following summary measures considering the provided frequency distribution from (b):
Which of the following statements is NOT correct about effects of scale changes for a data set? O a. When a constant of 3 is multiplied with every score value, the variance will increase by 9 Ob. When a constant of 3 is added to every score value, the variance will not change c. When a constant of 3 is multiplied with every score value, the standard deviation will increase by 3 d. When a constant of 3 is added to every score value, the standard deviation will increase by 3
Age of residents in a neighbourhood 26 45 27 50 40 52 12 28 48 52 14 20 32 9 36 10 36 51 42 1 30 21 40 37 13 35 57 47 42 53 Create a box-and-whisker plot for the data. What is the sample standard deviation of the data set? Use IQR and the standard deviation to determine if there are any outliers in the data set. I am unsure of my answer for the last question as I got IQR= 26 and - 18 and 85 when I inputed the numbers for it
In a study on running and happiness, runners indicated the number of miles they ran in a day and their subsequent score on a Happiness Survey (higher score = greater happiness). Runner # of miles (x) Happiness Score (y) 1 16 12 2 4 3 12 14 4 2 8 For these data: The mean of miles run is: 8.50 The mean of the Happiness scores is: 10.00 The standard deviation of the Miles scores is: 5.72 The standard deviation of the Happiness scores is: 3.16 In your submission, please include a copy of the SPSS or Excel output and answer the following: A. What is the r and r? value? B. Based on Pearson's r and r2 value, describe the relationship (direction/strength) that exists between # of miles run and Happiness scores. C. Create a scatterplot for the data using Excel or SPSS (include output in your submission). D. Insert the prediction line from Excel/SPSS on your scatterplot.
We are going to calculate the standard deviation for the following set of sample data by hand. Round all values to 4 decimal places where possible. Note: on the exam you can use the calculator function. The data are: 6,7,6, 15, 15 a) Calculate the mean. x = b) Fill in the table. x x-x (x-x)² 6 7 6 15 15 Total c) Calculate the standard deviation. Standard deviation: S= Σ(α - π)2 n-1 S =
The table below summarises data collected from male and female children about the time they spent on reading per week (X, in hours/week). Male Female All Sample size 20 22 ? 42 Sum values ? ? (i) of X Sum of X² values 8,648 17,352 (ii) 26000 Mean 19.9 27 ? 46.9 Standard Deviation 6.19 7.91 ? 14.1
The frequency distribution of scale categories for a 7-point off- flavor scale follows: Category Frequency 1 (none) 75 86 3 93 4 74 5 60 6 36 7 (very strong) 21 1. What is the rational origin of the foregoing 7-point scale? 2. Scale the categories using Guilford's method and interpret the results. Also find Guilford's adjusted scores. Detemine the mean and the standard deviation of the estimated category scale. 3.
The ages of undergraduate students at two universities (one in the east and one in the west) are being compared. Researchers want to know if there is a difference in the mean age of students at the two universities. The population standard deviations are known. The following data shows the results of samples collected at each institution: School Location n (sample size) sample mean ( ) population standard deviation West 33 25.78 6.29 East 35 23.16 7.52 What is the value of the test statistic for the previous problem? (Enter your answer as a positive value even if you calculated a negative test statistic value i.e. if you calculated -1.311 you should enter 1.311). Round your answer to 3 decimal places.
Consider the following sample data. Sample A: 11, 22, 33 Sample B: 81, 92, 103 Sample C: 1,100; 1,111; 1,122 (a) Find the mean and standard deviation for each sample. Sample A: Sample B: Sample C: Mean Sample Standard Deviation (b) What does this exercise show about the standard deviation? multiple choice The idea is to illustrate that the standard deviation is not a function of the value of the mean. The idea is to illustrate that the standard deviation is a function of the value of the mean.

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